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Paper Citation Record · LEDGER

Photorealistic Video Generation with Diffusion Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2312.06662.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.06662 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:31:51.608613Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T23:59:06.270972Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f3ac6d4a-7d3f-4712-a79a-fcfab2ff46af · inbound

VideoPoet: A Large Language Model for Zero-Shot Video Generation cites this paper.

VideoPoet: A Large Language Model for Zero-Shot Video Generation Photorealistic Video Generation with Diffusion Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:51:05.696684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:51:05.465548Z digest=sha256:5eb052aa46517cb1bccbedf4da20ea9c6672a41a06799dbdd51c3bdb1ae7a1d7

Observation a30b442c-f944-48d1-ac3c-51399a50592e · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Photorealistic Video Generation with Diffusion Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.133262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:209a47710d7eef853be23af0f04fa35335203eef279d6bc5dee4a6038fd829ce

Observation 83ba4456-c92e-4173-ad7c-b949f4c528b3 · inbound

CameraCtrl: Enabling Camera Control for Text-to-Video Generation cites this paper.

CameraCtrl: Enabling Camera Control for Text-to-Video Generation Photorealistic Video Generation with Diffusion Models

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:06:23.609147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T02:06:23.410241Z digest=sha256:054a8da080bfe5d82032ac44cc50059015f35d177d6238ae8077cb465eae2acf

Observation c9feceff-95e8-4b3e-baec-0e8f184a96fa · inbound

Diffusion Models Are Real-Time Game Engines cites this paper.

Diffusion Models Are Real-Time Game Engines Photorealistic Video Generation with Diffusion Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:04:44.253409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T12:04:44.162343Z digest=sha256:3097586691743706688abe2e9d1711602707b9378203e7960497df47ea8254fe

Observation fcfa539f-3a60-4c06-91f7-08487f1a35db · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models Photorealistic Video Generation with Diffusion Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:23.388206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:1bfff21f9ec42b1d81534314b0d190c2424b3fdbdc26e3960d09285c8fcab724

Observation 6f4eda9c-22d6-40d1-9867-623cc893613e · inbound

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment cites this paper.

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Photorealistic Video Generation with Diffusion Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.847724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:70860ba9816bf7acf012462c192c32e14418c8b8f0861f767e5e10eddd075c40

Observation cfb24bf3-a349-4e53-8ef7-8937b27eefbc · inbound

Leveraging Pre-Trained Visual Models for AI-Generated Video Detection cites this paper.

Leveraging Pre-Trained Visual Models for AI-Generated Video Detection Photorealistic Video Generation with Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:31:51.608613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:31:51.608613Z digest=sha256:9bc1ca29fad4a9cabdd5af4f273ce4a0a7d881d5b13dd889ad053a9870e1be8a

Observation e494224f-783c-44d9-a4e8-553a716c5c68 · inbound

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments cites this paper.

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments Photorealistic Video Generation with Diffusion Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T13:00:53.564961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:00:53.564961Z digest=sha256:f1242935efc5c4bf02b376f47836b1b26d5c5fc6b0d4e628b7c399d5ff0a7c80

Observation 9aacd0c8-bc0e-49ab-8c5f-6d1807527a11 · inbound

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment cites this paper.

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment Photorealistic Video Generation with Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-13T23:54:26.281624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:54:26.281624Z digest=sha256:09c726cec844c736fbfaae09545050aa6c2c693c7f5f232982fd6714e06da4f6

Observation 3e850b7c-8641-40ec-8a7b-5fbd5956c6e7 · inbound

ActionParty: Multi-Subject Action Binding in Generative Video Games cites this paper.

ActionParty: Multi-Subject Action Binding in Generative Video Games Photorealistic Video Generation with Diffusion Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T00:56:26.681009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:56:26.681009Z digest=sha256:a64dc49567e9a7eeddb2cbc4bd8915b6ef59117a3ca458e6fd0dfa3c460b7715

Observation 46724067-61c0-43c5-8aa0-489cb5a9c90a · inbound

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation cites this paper.

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation Photorealistic Video Generation with Diffusion Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:42:15.910426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T04:40:25.725622Z digest=sha256:aa112ae87280141d28b6139c28001672192cf5a973246cb8f83c8a5fcafd04d7

Observation fea15afe-2dd3-40df-a52e-8c915ee709b1 · inbound

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment cites this paper.

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment Photorealistic Video Generation with Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:24:41.374599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T06:24:04.891249Z digest=sha256:6d90e1b61f95f6d95db499b54efbb81269239a7f08b50627cacd2bec9d5e6785

Observation c478c0f3-14a3-4589-b0f0-73b3a17e2a9f · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Photorealistic Video Generation with Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:39.252659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T05:35:01.339479Z digest=sha256:cbe2db10e545d28afdca9c3822e2ff8eabdec70cb7aac3c7d6efc22788268e09

Observation 0223f2b8-b3e5-4bca-b223-61ee4a7cb261 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Photorealistic Video Generation with Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:06.273126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-03T23:50:39.241880Z digest=sha256:4bb7664138b6a4d5650797140ef5b15dab68698be4fb8bf66f4ac940e572ea00

Observation 6c3ff821-3318-4749-98d1-c52e4123b75a · inbound

WaiT for the Signal: Simple Frequency-Aware Flow-Matching cites this paper.

WaiT for the Signal: Simple Frequency-Aware Flow-Matching Photorealistic Video Generation with Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T00:34:35.423426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:34:35.423426Z digest=sha256:d875e893437aae381af8cb74202bfc2d91287ebc40209a12511232922a19fe4d